Literature DB >> 31002951

Robot-assisted therapy for balance function rehabilitation after stroke: A systematic review and meta-analysis.

Qing-Xiang Zheng1, Li Ge2, Carol Chunfeng Wang3, Qi-Shou Ma4, Yan-Tan Liao4, Ping-Ping Huang1, Guan-Dong Wang1, Qiu-Lin Xie1, Mikael Rask5.   

Abstract

OBJECTIVE: To identify the rehabilitative effects of robot-assisted therapy on balance function among stroke patients.
DESIGN: A systematic review and meta-analysis of randomized controlled trials. DATA SOURCES: Thirteen electronic databases were systematically searched from inception to March 2018: Web of Science, PubMed, EMBase, The Cochrane Library, Science Direct, CINAHL, MEDLINE, AMED, Physiotherapy Evidence Database, SPORTDiscus, WanFang Data, China National Knowledge Infrastructure and Chinese Scientific Journal Database. REVIEW
METHODS: Randomized controlled trials were retrieved for identifying the effects of robot-assisted therapy on balance function among stroke patients. Two authors independently searched databases, screened studies, extracted data, and evaluated the methodological quality and risk bias of each included study. A standardized protocol and data-collection form were used to extract information. Effect size was evaluated by mean difference with corresponding 95% confidence intervals. Methodological quality and risk bias evaluation for each included study followed the quality appraisal criteria for randomized controlled trials that were recommended by Cochrane Handbook. Meta-analysis was conducted by utilizing Review Manager 5.3, a Cochrane Collaboration tool. Data was synthesized with descriptive analysis instead of meta-analysis where comparisons were not possible to be conducted with a meta-analysis.
RESULTS: Thirty-one randomized controlled trials with a total of 1249 participants were included. The majority of the included studies contained some methodological flaws. The results of the meta-analysis indicated that robot-assisted therapy produced positive effects on balance function, as shown by an increase in the Berg balance scale score [random effects model, mean difference = 4.64, 95%CI = 3.22-6.06, P<0.01], as well as Fugl-Meyer balance scale scores [fixed effects model, mean difference = 3.57, 95%CI = 2.81-4.34, P<0.01]. After subgroup and sensitivity analyses, the positive effects were not influenced by different types of robotic devices, by whether robot-assisted therapy was combined with another intervention or not, or by differences in duration and intensity of intervention.
CONCLUSION: Evidence in the present systematic review indicates that robot-assisted therapy may produce significantly positive improvements on balance function among stroke patients compared with those not using this method. More multi-center, high-quality and large-scale randomized controlled trials following the guidelines of CONSORT are necessary to generate high-quality evidence in further research.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Balance function; Meta-analysis; Randomized controlled trial; Robot-assisted therapy; Stroke; Systematic review

Year:  2019        PMID: 31002951     DOI: 10.1016/j.ijnurstu.2019.03.015

Source DB:  PubMed          Journal:  Int J Nurs Stud        ISSN: 0020-7489            Impact factor:   5.837


  6 in total

Review 1.  Robot-assisted distal training improves upper limb dexterity and function after stroke: a systematic review and meta-regression.

Authors:  Menglu Zhao; Guangning Wang; Aimin Wang; Ling Jie Cheng; Ying Lau
Journal:  Neurol Sci       Date:  2022-01-28       Impact factor: 3.307

2.  Effects of Balance Exercise Assist Robot training for patients with hemiparetic stroke: a randomized controlled trial.

Authors:  Seigo Inoue; Yohei Otaka; Masashi Kumagai; Masafumi Sugasawa; Naoki Mori; Kunitsugu Kondo
Journal:  J Neuroeng Rehabil       Date:  2022-01-28       Impact factor: 4.262

3.  Identification of the Exercise Load When Using a Balance Exercise Assist Robot.

Authors:  Naoki Sasanuma; Koichiro Sota; Yuki Uchiyama; Norihiko Kodama; Kazuhisa Domen
Journal:  Prog Rehabil Med       Date:  2021-12-25

4.  Factors associated with balance impairments amongst stroke survivors in northern Benin: A cross-sectional study.

Authors:  Oyéné Kossi; Mendinatou Agbetou; Sènadé I Noukpo; Lisa T Triccas; Daniel-Eude Dossou-Yovo; Elogni R Amanzonwe; Thierry Adoukonou
Journal:  S Afr J Physiother       Date:  2021-09-02

Review 5.  Short and long-term effects of robot-assisted therapy on upper limb motor function and activity of daily living in patients post-stroke: a meta-analysis of randomized controlled trials.

Authors:  Liping Zhang; Gongwei Jia; Jingxi Ma; Sanrong Wang; Li Cheng
Journal:  J Neuroeng Rehabil       Date:  2022-07-21       Impact factor: 5.208

6.  Breaking the ice to improve motor outcomes in patients with chronic stroke: a retrospective clinical study on neuromodulation plus robotics.

Authors:  Antonino Naro; Luana Billeri; Alfredo Manuli; Tina Balletta; Antonino Cannavò; Simona Portaro; Paola Lauria; Fabrizio Ciappina; Rocco Salvatore Calabrò
Journal:  Neurol Sci       Date:  2020-11-06       Impact factor: 3.307

  6 in total

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